Expedia
KAYAK
Tripadvisor
Booking.com
Skyscanner
Momondo
Airbnb
Google Flights
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
Expedia DatabricksBased on our record, Expedia should be more popular than Databricks. It has been mentiond 43 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
So I am planning a trip to WDW for two next year. I am looking at expedia.com for it's travel packages of booking flights and hotels, but am wondering, is their a better website for finding such packages? Source: 10 months ago
Some booking websites allow you to search specifically for hostels. I just took a quick glance, and expedia.com allows it. Booking.com doesn't appear so, but maybe I missed something. Source: about 1 year ago
Whatever safe bed you can find at this point. You've left it too late to be picky and it's looking like it's going to be the start of the the busiest, boomiest tourist season here in Italy ever. Expect to have to stay very, very, very far from city centers and transit connections or to pay $400+/night on a place. Don't be picky, just start looking now at both AirBnb and hotels (booking.com or expedia.com are the... Source: about 1 year ago
So some fares can be priced differently depending on the region you select for purchasing. e.g. expedia.com vs expedia.ca vs expedia.co.jp. Source: about 1 year ago
Ah yes, the expedia.com effect. "Only one room left, hurry before it's gone.". Source: about 1 year ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
KAYAK - KAYAK is a travel search engine that searches hundreds of other travel sites at once. Our helpful tools & features find you the information you need to make the right decisions on flights, hotels, rental cars and vacation packages.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Tripadvisor - The Tripadvisor mobile app is available for the Android and iOS platforms. It can be used to create reviews of hotels, restaurants, and to chat with other travelers on Tripadvisor forums.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Booking.com - Find your next stay. Search deals on hotels, homes, and much more...
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.